Alternatives
Products that do what Cross-Sprint does
Navigate your path to multi-framework compliance
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2019 · github.com
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2018 · github.com
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I've seen a lot of comments about how complex frameworks like LangChain can be. Over the holidays, I wanted to see how minimal an LLM framework could get if we stripped away everything non-essential. The result is an LLM framework in just 100 lines of code. These 100 lines capture what I see as the core abstraction of most LLM frameworks: a nested directed graph that breaks down tasks into multiple LLM steps, with branching and recursion to enable agent-like decision-making. From there, you can layer on more advanced features like agents, RAG, task decomposition, and more. I’ve intentionally…
2025 · github.com
- 10OS
Hey Everyone! Avi and I (in the current YC S25 Batch) noticed how fragmented crypto compliance is with rules changing constantly, vary by region, and force developers and legal teams into a scramble. So we hacked together a prototype framework that generates a “guardrail” smart contract which: - Hooks into your KYC provider - Enforces rules defined a simple compliance.yaml file - Automatically blocks users you can't legally serve When regulations shift (new blocked country, updated KYC threshold, etc.), just update your YAML and redeploy with no smart contract rewrites. Audit prep also…
2025 · github.com
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Hi HN, I built SubTrack to help teams find unused SaaS tools and cloud resources before they silently eat into budgets. The motivation came from seeing how hard it is to answer simple questions: – Which SaaS tools are actually used? – Which cloud resources are idle? – What will our end-of-month spend look like? SubTrack connects to tools like AWS, GitHub, Vercel, and others to surface unused resources and cost signals from one place. Recently I added multi-account support, currency localization, and optional AI-based insights to help interpret usage patterns. This is an early-stage project…
Jan 2026 · subtrack.pulseguard.in
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Hi, Wanted to share something I've been working on for over a year. AuditBadger is a compliance management platform that uses AI to write policies (there are underlying "templates" with basic requirements), rewrite controls (or trust service criterions) to match the company context, help figure out your own controls, does initial risk assessment, and business continuity planning (which at least gives you an example of how the process should look like). Fun fact - I wanted to share this a year ago, but then I spotted something similar here. The most common comment was about lacking the SOC 2…
Aug 2026 · auditbadger.com
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Announcing: ADAPT Framework ALPHA release and demo ADAPT Framework is a developer toolkit for replacing a centralized web back end with a decentralized mesh of interconnected data nodes. ADAPT is an easy way to build non-custodial internet applications for document sharing, messaging, credential management, medical data sharing, and other similar use cases. ADAPT enables developers to create data nodes that work identically on the front end and server side. All business logic that was traditionally placed into the back-end of an application can now be implemented by defining the behavior of…
2023 · github.com
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2017 · github.com
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2019 · pepchecker.com
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2023 · complimony.com
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Hey Hacker News community! I'm thrilled to introduce Excessibility, a library that I've developed to address a crucial aspect of web development - accessibility testing. With Excessibility, you can effortlessly test your Elixir/Phoenix applications for a11y issues and ensure compliance with WCAG (Web Content Accessibility Guidelines). Accessibility is a fundamental principle that should be at the core of every web application. It ensures that people with disabilities can access and use your website or application without any barriers. However, testing for accessibility issues can be a…
2023 · github.com
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Hi all, Gorkem here. I started VerifyWise [1] to make AI governance less painful. Today, we’re launching our open-source platform to help teams take control of their AI compliance process. VerifyWise helps organizations navigate AI governance by providing audit readiness, risk registers, model fairness checks, and compliance documentation. Those are all built into a single platform you can self-host. We’ve been quietly building VerifyWise for a while, and we’re now at a place where it’s ready for more teams to try. Since we started, we've: - Released our core platform on GitHub:…
2025 · verifywise.ai
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A couple of years ago, we had an interesting idea. When a development team within an organization consists of around 10 members or fewer, controlling the risks associated with database changes might be achieved through trust and real-time communication. However, as the team grows, the responsibilities within the team become more specialized. Imagine a scenario where different branches of the business exist, each with its own set of developers, team leads, testers, testing leads, DBAs, and more. Relying solely on traditional communication methods becomes increasingly challenging when it comes…
2023 · github.com
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Over three months ago, I posted my book on HN and got tremendous +ve reponse. I am happy to inform that I have published the book to leanpub as per the comments I got on HN itself! It is pay as you go model, and the minimum is $0 because I wanted to contribute back to the FOSS Community
2016
- 21UA
I've been using LLMs for long discovery and research chats (papers, repos, best practices), then distilling that into phased markdown (build plan + tests), then handing those phases to Codex/Claude to implement and test phase by phase. The annoying part was always the distillation and keeping docs and architecture current, so I built Unpack: a lightweight GitHub template plus docs structure and a few commands that turns conversations into phases/specs and keeps project docs up to date as the agent builds. It can also generate Mintlify-friendly end-user docs. There are other…
Feb 2026 · github.com
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Classify. Assess. Document. Full compliance with EU AI Act
4d ago · share.streamlit.io
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We built an RL environment for credit card reward optimization and trained Qwen 32B with GRPO against it. The trained model scores ~0.51 on held-out tasks vs. Opus 4 at ~0.41 and GPT-4o at 0.36. Environment is open source (Apache 2.0). Blog post explains the reward design, what broke during training, how we fixed it, and what we'd do differently.
Apr 2026 · huggingface.co
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As a long-time developer, I participated in many integration projects and we always had a recurring problem: monitoring and sending integration error alerts to end users. Based on 10 years and hundreds of projects, I created a platform that helps solve this, with several accelerators and cool stuff for developers. Some feedback would be great, if the tool makes sense and what we could improve on.
2022 · tunnelhub.io
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